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Course detail
FIT-DS_2Acad. year: 2022/2023
Basic terms: relational and multidimensional database model, operational database, data warehouse, data mart, building and running of a data warehouse, modelling a data warehouse - multidimensional model, data cube, OLAP analysis, data mining.
Language of instruction
Number of ECTS credits
Mode of study
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Department
Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
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Aims
Specification of controlled education, way of implementation and compensation for absences
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Basic literature
Recommended reading
Elearning
Classification of course in study plans
branch BAK-MIn , 3 year of study, winter semester, compulsory
Lecture
Teacher / Lecturer
Syllabus
1. Basic terms of data warehousing. Relationship of data warehouses and operational databases.2. Architecture of a data warehouse. Modelling of data warehouses.3. ETL process during creating data warehouse.4. OLAP tachnics and OLAP operations over a data cube.5. A case study about using of data warehouses.6. Introduction to the design of data warehouses.7. Introduction to data mining in data warehouses.
Computer-assisted exercise
1. Repetition of relational databases and SQL.2. Data warehousing and OLAP usage analysis in Microsoft tools.3. Use MS Excel for OLAP analysis.4. Individual project to create a data warehouse.5. Use of methods data mining tools in an environment of Microsoft.6. Individual project on data mining.